AUTHOR=Zhang Jianhua , Ma Qianxiong , Shan Rui , Zhou Guiping , Wang Lei , Li Bin , Wang Yongyue 

TITLE=Short-term frequency regulation of power systems based on DFIG wind generation

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.948185

DOI=10.3389/fenrg.2022.948185

ISSN=2296-598X

ABSTRACT=Short term frequency regulation is significant for the safety and efficiency of power systems with wind generation units, however, frequency regulation is challenging due to uncertainties induced from unmodeled dynamics and stochastic disturbances of wind speed and load. An overall frequency regulation scheme is presented for doubly fed induction generator (DFIG) based wind power units participated in short-term frequency regulation. A data-driven additive controller is cast into a stochastic framework. Since the survival information potential (SIP) of a random variable has some advantages over the IP, consequently, the SIP of frequency deviation is presented to evaluate droop control and inertial control simultaneously. Afterwards, the optimal additive control coefficient can be obtained by using particle swarm optimization technique and an arithmetic mean filter. Finally, compared with the traditional additive control strategies, the effectiveness of the proposed approach is demonstrated by simulation results.